This paper evaluates the performance of a level set algorithm for segmenting the endocardium in short-axis ultrasound images. The evaluation is carried out using an anthropomorphic ultrasound phantom. Details of the phantom design, including comparison of the ultrasound parameters with in-vitro measurements, are included. In addition to measuring segmentation accuracy, the effectiveness of the energy minimization scheme is also determined. It is argued that using the phantom along with global minimization algorithms (simulated annealing and random search) makes is possible to assess the minimization strategy. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Yue, Y., Tagare, H. D., Madsen, E. L., Frank, G. R., & Hobson, M. A. (2008). Evaluation of a cardiac ultrasound segmentation algorithm using a phantom. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5241 LNCS, pp. 101–109). https://doi.org/10.1007/978-3-540-85988-8_13
Mendeley helps you to discover research relevant for your work.